MATHEMATICAL KINETIC AND THERMODYNAMIC STUDY OF ADSORPTION OF COMPETITOR ION AS CHLORIDE I, FLUORIDE I AND NITRATE I ON ALKALINE SOIL USING BATCH METHOD

The CCA Rajasthan is career out to constraint their solute sources and subsurface weathering process sodium, chloride, fluoride, calcium ions dominate major ion chemistry. This type of chemistry have been pointed to a significant solute supply from the salt affected soils and bedrock dissolution. Annual changes model calculations involving elemental ratios of major ions show that the solutes are mainly supplied through salt affected soils with climatic or manual inputs. These estimates are consistent with abundant ions like chloride, fluoride and nitrate ions regards leaching kinetics and thermodynamics parameters comparateively. The faster or slower kinetics or thermodynamics were observed clearly during annual research. The out comes of this study underscore distinctly different leaching rate profiles following first order reaction mainly with entropy and enthalpy variabilities in the reference of the particulars ions in alkaline soils using batch process method. These entire study when is modified or made graphically represented by statistical parameters through mathematical modelling make the way to sustain the profitable changes for escaping soil salinity or ground water or surface water and soil qualities protections, so in this way main purpose of this work is to comparatively study the adsorption of calcium, magnesium and sodium as , , ions on to the soil sample (SS) suffer –Cl –F –3NO ed from salinity around the Chambal Command Area (CCA) to get the equilibrium constant, enthalpy changes, Gibbs free energy changes, entropy changes respectively ], ], ], ]. The series of experiments were done with [keq [DHº [DGº [DSº different amount and concentrations of adsorbate or effluents as , , in the _ – – – 2 ([Cl]eff)CaCl CaF 2 ([F]eff) ([NO 3]eff)CaNO 3 temperature range of 293K to 313K by using batch process method. Although rates of adsorption [AdR] or rates of unadsorption [UadR] were found almost 1st order during entire experiment but to get the clear prediction, distributions, classifications, assumptions and make ease to understand mathematical modeling was done with the help of statistical parameters in order to find the ways to escape soil salinity drawbacks scientifically.